目的:制备达比加群酯自微乳分散片并评价其质量。方法:筛选可在45 min内完全释药的固体吸附材料,以粉末直接压片法制备自微乳分散片,通过单因素实验优化处方,考察所得自微乳分散片的质量。结果:以MCC KG 802作为固体吸附材料,能有效吸...目的:制备达比加群酯自微乳分散片并评价其质量。方法:筛选可在45 min内完全释药的固体吸附材料,以粉末直接压片法制备自微乳分散片,通过单因素实验优化处方,考察所得自微乳分散片的质量。结果:以MCC KG 802作为固体吸附材料,能有效吸附达比加群酯自微乳液并形成固体吸附混合物(Mix)。分散片处方组成为:25%Mix,25%崩解剂PVPP,适量由4%微粉硅胶与0.5%硬脂酸镁组成的润滑剂,其余为填充剂MCC 102。制得分散片的硬度、脆碎度、分散均匀性及崩解时间均符合要求。在纯化水中分散后形成的微乳粒径为200~230 nm,与达比加群酯液体自微乳液的粒径相当。结论:自微乳分散片能较好的保持液体自微乳系统的特性,有望提高达比加群酯生物利用度,扩展了自微乳系统的应用范围。展开更多
Dispersed computing is a new resourcecentric computing paradigm.Due to its high degree of openness and decentralization,it is vulnerable to attacks,and security issues have become an important challenge hindering its ...Dispersed computing is a new resourcecentric computing paradigm.Due to its high degree of openness and decentralization,it is vulnerable to attacks,and security issues have become an important challenge hindering its development.The trust evaluation technology is of great significance to the reliable operation and security assurance of dispersed computing networks.In this paper,a dynamic Bayesian-based comprehensive trust evaluation model is proposed for dispersed computing environment.Specifically,in the calculation of direct trust,a logarithmic decay function and a sliding window are introduced to improve the timeliness.In the calculation of indirect trust,a random screening method based on sine function is designed,which excludes malicious nodes providing false reports and multiple malicious nodes colluding attacks.Finally,the comprehensive trust value is dynamically updated based on historical interactions,current interactions and momentary changes.Simulation experiments are introduced to verify the performance of the model.Compared with existing model,the proposed trust evaluation model performs better in terms of the detection rate of malicious nodes,the interaction success rate,and the computational cost.展开更多
基金supported in part by the National Science Foundation Project of P.R.China (No.61931001)the Fundamental Research Funds for the Central Universities under Grant (No.FRFAT-19-010)the Scientific and Technological Innovation Foundation of Foshan,USTB (No.BK20AF003)。
文摘Dispersed computing is a new resourcecentric computing paradigm.Due to its high degree of openness and decentralization,it is vulnerable to attacks,and security issues have become an important challenge hindering its development.The trust evaluation technology is of great significance to the reliable operation and security assurance of dispersed computing networks.In this paper,a dynamic Bayesian-based comprehensive trust evaluation model is proposed for dispersed computing environment.Specifically,in the calculation of direct trust,a logarithmic decay function and a sliding window are introduced to improve the timeliness.In the calculation of indirect trust,a random screening method based on sine function is designed,which excludes malicious nodes providing false reports and multiple malicious nodes colluding attacks.Finally,the comprehensive trust value is dynamically updated based on historical interactions,current interactions and momentary changes.Simulation experiments are introduced to verify the performance of the model.Compared with existing model,the proposed trust evaluation model performs better in terms of the detection rate of malicious nodes,the interaction success rate,and the computational cost.
